Overview

Dataset statistics

Number of variables6
Number of observations5032
Missing cells103
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory240.9 KiB
Average record size in memory49.0 B

Variable types

Text3
Categorical1
Numeric1
DateTime1

Dataset

Description제주특별자치도 서귀포시 관내에 있는 일반음식점에 대한 데이터로 사업장명, 소재지(지번주소 및 도로명주소), 업태, 면적 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15055972/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
소재지전체주소 has 58 (1.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 04:18:45.952190
Analysis finished2023-12-12 04:18:47.868972
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct5029
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
2023-12-12T13:18:48.129265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length28
Mean length6.2444356
Min length1

Characters and Unicode

Total characters31422
Distinct characters953
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5026 ?
Unique (%)99.9%

Sample

1st row남문숯불바베큐성산점
2nd row가파도에킴스
3rd row만부식당
4th row이스턴레스토랑
5th row우로
ValueCountFrequency (%)
bar 5
 
0.1%
lounge 5
 
0.1%
jeju 5
 
0.1%
kitchen 4
 
0.1%
부영cc 4
 
0.1%
the 3
 
0.1%
볶찜 3
 
0.1%
제주 3
 
0.1%
snacks 3
 
0.1%
성산점 3
 
0.1%
Other values (5211) 5242
99.3%
2023-12-12T13:18:48.610396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 832
 
2.6%
식 654
 
2.1%
이 640
 
2.0%
당 581
 
1.8%
주 476
 
1.5%
포 436
 
1.4%
제 417
 
1.3%
스 416
 
1.3%
리 408
 
1.3%
가 381
 
1.2%
Other values (943) 26181
83.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28515
90.7%
Lowercase Letter 971
 
3.1%
Uppercase Letter 681
 
2.2%
Decimal Number 392
 
1.2%
Close Punctuation 269
 
0.9%
Open Punctuation 269
 
0.9%
Space Separator 248
 
0.8%
Other Punctuation 58
 
0.2%
Dash Punctuation 17
 
0.1%
Modifier Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 832
 
2.9%
식 654
 
2.3%
이 640
 
2.2%
당 581
 
2.0%
주 476
 
1.7%
포 436
 
1.5%
제 417
 
1.5%
스 416
 
1.5%
리 408
 
1.4%
가 381
 
1.3%
Other values (871) 23274
81.6%
Lowercase Letter
ValueCountFrequency (%)
e 129
13.3%
a 110
11.3%
o 86
 
8.9%
i 72
 
7.4%
n 67
 
6.9%
r 62
 
6.4%
s 54
 
5.6%
u 46
 
4.7%
c 40
 
4.1%
t 39
 
4.0%
Other values (16) 266
27.4%
Uppercase Letter
ValueCountFrequency (%)
C 62
 
9.1%
B 57
 
8.4%
E 49
 
7.2%
A 48
 
7.0%
S 45
 
6.6%
L 37
 
5.4%
O 36
 
5.3%
N 32
 
4.7%
D 29
 
4.3%
I 29
 
4.3%
Other values (16) 257
37.7%
Decimal Number
ValueCountFrequency (%)
1 84
21.4%
2 69
17.6%
0 50
12.8%
3 37
9.4%
5 33
 
8.4%
8 29
 
7.4%
9 26
 
6.6%
4 22
 
5.6%
6 21
 
5.4%
7 21
 
5.4%
Other Punctuation
ValueCountFrequency (%)
& 33
56.9%
. 11
 
19.0%
' 7
 
12.1%
, 5
 
8.6%
? 2
 
3.4%
Close Punctuation
ValueCountFrequency (%)
) 269
100.0%
Open Punctuation
ValueCountFrequency (%)
( 269
100.0%
Space Separator
ValueCountFrequency (%)
248
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28497
90.7%
Latin 1652
 
5.3%
Common 1255
 
4.0%
Han 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 832
 
2.9%
식 654
 
2.3%
이 640
 
2.2%
당 581
 
2.0%
주 476
 
1.7%
포 436
 
1.5%
제 417
 
1.5%
스 416
 
1.5%
리 408
 
1.4%
가 381
 
1.3%
Other values (856) 23256
81.6%
Latin
ValueCountFrequency (%)
e 129
 
7.8%
a 110
 
6.7%
o 86
 
5.2%
i 72
 
4.4%
n 67
 
4.1%
r 62
 
3.8%
C 62
 
3.8%
B 57
 
3.5%
s 54
 
3.3%
E 49
 
3.0%
Other values (42) 904
54.7%
Common
ValueCountFrequency (%)
) 269
21.4%
( 269
21.4%
248
19.8%
1 84
 
6.7%
2 69
 
5.5%
0 50
 
4.0%
3 37
 
2.9%
& 33
 
2.6%
5 33
 
2.6%
8 29
 
2.3%
Other values (10) 134
10.7%
Han
ValueCountFrequency (%)
酒 3
16.7%
愛 2
 
11.1%
食 1
 
5.6%
好 1
 
5.6%
辛 1
 
5.6%
李 1
 
5.6%
友 1
 
5.6%
客 1
 
5.6%
丹 1
 
5.6%
知 1
 
5.6%
Other values (5) 5
27.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28497
90.7%
ASCII 2905
 
9.2%
CJK 17
 
0.1%
None 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 832
 
2.9%
식 654
 
2.3%
이 640
 
2.2%
당 581
 
2.0%
주 476
 
1.7%
포 436
 
1.5%
제 417
 
1.5%
스 416
 
1.5%
리 408
 
1.4%
가 381
 
1.3%
Other values (856) 23256
81.6%
ASCII
ValueCountFrequency (%)
) 269
 
9.3%
( 269
 
9.3%
248
 
8.5%
e 129
 
4.4%
a 110
 
3.8%
o 86
 
3.0%
1 84
 
2.9%
i 72
 
2.5%
2 69
 
2.4%
n 67
 
2.3%
Other values (61) 1502
51.7%
CJK
ValueCountFrequency (%)
酒 3
17.6%
愛 2
11.8%
食 1
 
5.9%
好 1
 
5.9%
辛 1
 
5.9%
友 1
 
5.9%
客 1
 
5.9%
丹 1
 
5.9%
知 1
 
5.9%
安 1
 
5.9%
Other values (4) 4
23.5%
None
ValueCountFrequency (%)
´ 2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%

소재지전체주소
Text

MISSING 

Distinct4435
Distinct (%)89.2%
Missing58
Missing (%)1.2%
Memory size39.4 KiB
2023-12-12T13:18:49.083341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length26.876357
Min length19

Characters and Unicode

Total characters133683
Distinct characters320
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4049 ?
Unique (%)81.4%

Sample

1st row제주특별자치도 서귀포시 성산읍 고성리 1200-5
2nd row제주특별자치도 서귀포시 대정읍 가파리 214
3rd row제주특별자치도 서귀포시 서귀동 659-1
4th row제주특별자치도 서귀포시 서호동 1522-2
5th row제주특별자치도 서귀포시 서귀동 301-5
ValueCountFrequency (%)
제주특별자치도 4974
21.0%
서귀포시 4974
21.0%
서귀동 827
 
3.5%
성산읍 629
 
2.7%
대정읍 519
 
2.2%
안덕면 510
 
2.2%
1층 423
 
1.8%
표선면 411
 
1.7%
남원읍 349
 
1.5%
동홍동 320
 
1.3%
Other values (4415) 9784
41.2%
2023-12-12T13:18:49.855490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23620
 
17.7%
서 6205
 
4.6%
귀 5820
 
4.4%
1 5075
 
3.8%
포 5045
 
3.8%
시 5039
 
3.8%
주 5013
 
3.7%
제 5007
 
3.7%
도 4992
 
3.7%
치 4988
 
3.7%
Other values (310) 62879
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83476
62.4%
Space Separator 23620
 
17.7%
Decimal Number 22310
 
16.7%
Dash Punctuation 3938
 
2.9%
Other Punctuation 252
 
0.2%
Uppercase Letter 38
 
< 0.1%
Open Punctuation 17
 
< 0.1%
Close Punctuation 17
 
< 0.1%
Lowercase Letter 13
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 6205
 
7.4%
귀 5820
 
7.0%
포 5045
 
6.0%
시 5039
 
6.0%
주 5013
 
6.0%
제 5007
 
6.0%
도 4992
 
6.0%
치 4988
 
6.0%
별 4976
 
6.0%
자 4974
 
6.0%
Other values (272) 31417
37.6%
Uppercase Letter
ValueCountFrequency (%)
A 15
39.5%
B 8
21.1%
C 3
 
7.9%
F 2
 
5.3%
P 2
 
5.3%
K 2
 
5.3%
T 1
 
2.6%
G 1
 
2.6%
L 1
 
2.6%
J 1
 
2.6%
Other values (2) 2
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 5075
22.7%
2 3329
14.9%
3 2254
10.1%
4 2086
9.4%
7 1813
 
8.1%
5 1629
 
7.3%
0 1621
 
7.3%
6 1583
 
7.1%
8 1467
 
6.6%
9 1453
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
a 2
15.4%
t 2
15.4%
e 2
15.4%
u 2
15.4%
q 1
7.7%
p 1
7.7%
j 1
7.7%
l 1
7.7%
n 1
7.7%
Other Punctuation
ValueCountFrequency (%)
, 249
98.8%
. 3
 
1.2%
Space Separator
ValueCountFrequency (%)
23620
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3938
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83476
62.4%
Common 50156
37.5%
Latin 51
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 6205
 
7.4%
귀 5820
 
7.0%
포 5045
 
6.0%
시 5039
 
6.0%
주 5013
 
6.0%
제 5007
 
6.0%
도 4992
 
6.0%
치 4988
 
6.0%
별 4976
 
6.0%
자 4974
 
6.0%
Other values (272) 31417
37.6%
Latin
ValueCountFrequency (%)
A 15
29.4%
B 8
15.7%
C 3
 
5.9%
a 2
 
3.9%
t 2
 
3.9%
e 2
 
3.9%
u 2
 
3.9%
F 2
 
3.9%
P 2
 
3.9%
K 2
 
3.9%
Other values (11) 11
21.6%
Common
ValueCountFrequency (%)
23620
47.1%
1 5075
 
10.1%
- 3938
 
7.9%
2 3329
 
6.6%
3 2254
 
4.5%
4 2086
 
4.2%
7 1813
 
3.6%
5 1629
 
3.2%
0 1621
 
3.2%
6 1583
 
3.2%
Other values (7) 3208
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83476
62.4%
ASCII 50207
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23620
47.0%
1 5075
 
10.1%
- 3938
 
7.8%
2 3329
 
6.6%
3 2254
 
4.5%
4 2086
 
4.2%
7 1813
 
3.6%
5 1629
 
3.2%
0 1621
 
3.2%
6 1583
 
3.2%
Other values (28) 3259
 
6.5%
Hangul
ValueCountFrequency (%)
서 6205
 
7.4%
귀 5820
 
7.0%
포 5045
 
6.0%
시 5039
 
6.0%
주 5013
 
6.0%
제 5007
 
6.0%
도 4992
 
6.0%
치 4988
 
6.0%
별 4976
 
6.0%
자 4974
 
6.0%
Other values (272) 31417
37.6%

도로명전체주소
Text

Distinct4517
Distinct (%)90.6%
Missing44
Missing (%)0.9%
Memory size39.4 KiB
2023-12-12T13:18:50.361299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length55
Mean length29.477747
Min length22

Characters and Unicode

Total characters147035
Distinct characters359
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4178 ?
Unique (%)83.8%

Sample

1st row제주특별자치도 서귀포시 성산읍 고성오조로 88-2, 1층
2nd row제주특별자치도 서귀포시 대정읍 가파로 259, 1층
3rd row제주특별자치도 서귀포시 칠십리로 40-6, 2층 (서귀동)
4th row제주특별자치도 서귀포시 서호중로 65, 1층 (서호동)
5th row제주특별자치도 서귀포시 천지로 58, 2층 (서귀동)
ValueCountFrequency (%)
제주특별자치도 4988
 
18.0%
서귀포시 4988
 
18.0%
1층 1372
 
5.0%
서귀동 834
 
3.0%
성산읍 627
 
2.3%
대정읍 518
 
1.9%
안덕면 512
 
1.9%
표선면 410
 
1.5%
남원읍 351
 
1.3%
동홍동 319
 
1.2%
Other values (2502) 12743
46.1%
2023-12-12T13:18:50.994861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22675
 
15.4%
서 6715
 
4.6%
귀 5875
 
4.0%
주 5274
 
3.6%
제 5242
 
3.6%
포 5147
 
3.5%
도 5140
 
3.5%
시 5080
 
3.5%
1 5032
 
3.4%
로 5024
 
3.4%
Other values (349) 75831
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96485
65.6%
Space Separator 22675
 
15.4%
Decimal Number 19324
 
13.1%
Open Punctuation 2625
 
1.8%
Close Punctuation 2625
 
1.8%
Other Punctuation 2233
 
1.5%
Dash Punctuation 918
 
0.6%
Uppercase Letter 118
 
0.1%
Lowercase Letter 21
 
< 0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 6715
 
7.0%
귀 5875
 
6.1%
주 5274
 
5.5%
제 5242
 
5.4%
포 5147
 
5.3%
도 5140
 
5.3%
시 5080
 
5.3%
로 5024
 
5.2%
치 5015
 
5.2%
자 4996
 
5.2%
Other values (305) 42977
44.5%
Uppercase Letter
ValueCountFrequency (%)
A 44
37.3%
B 38
32.2%
F 13
 
11.0%
C 8
 
6.8%
E 4
 
3.4%
P 3
 
2.5%
G 2
 
1.7%
D 2
 
1.7%
J 1
 
0.8%
H 1
 
0.8%
Other values (2) 2
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
19.0%
u 3
14.3%
t 2
9.5%
l 2
9.5%
o 2
9.5%
a 2
9.5%
n 2
9.5%
d 1
 
4.8%
q 1
 
4.8%
j 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 5032
26.0%
2 2726
14.1%
3 1816
 
9.4%
4 1613
 
8.3%
5 1532
 
7.9%
6 1420
 
7.3%
0 1391
 
7.2%
7 1333
 
6.9%
8 1264
 
6.5%
9 1197
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 2230
99.9%
. 2
 
0.1%
* 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2624
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2624
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
22675
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 918
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96485
65.6%
Common 50410
34.3%
Latin 140
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 6715
 
7.0%
귀 5875
 
6.1%
주 5274
 
5.5%
제 5242
 
5.4%
포 5147
 
5.3%
도 5140
 
5.3%
시 5080
 
5.3%
로 5024
 
5.2%
치 5015
 
5.2%
자 4996
 
5.2%
Other values (305) 42977
44.5%
Latin
ValueCountFrequency (%)
A 44
31.4%
B 38
27.1%
F 13
 
9.3%
C 8
 
5.7%
e 4
 
2.9%
E 4
 
2.9%
u 3
 
2.1%
P 3
 
2.1%
t 2
 
1.4%
l 2
 
1.4%
Other values (14) 19
13.6%
Common
ValueCountFrequency (%)
22675
45.0%
1 5032
 
10.0%
2 2726
 
5.4%
( 2624
 
5.2%
) 2624
 
5.2%
, 2230
 
4.4%
3 1816
 
3.6%
4 1613
 
3.2%
5 1532
 
3.0%
6 1420
 
2.8%
Other values (10) 6118
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96485
65.6%
ASCII 50549
34.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22675
44.9%
1 5032
 
10.0%
2 2726
 
5.4%
( 2624
 
5.2%
) 2624
 
5.2%
, 2230
 
4.4%
3 1816
 
3.6%
4 1613
 
3.2%
5 1532
 
3.0%
6 1420
 
2.8%
Other values (33) 6257
 
12.4%
Hangul
ValueCountFrequency (%)
서 6715
 
7.0%
귀 5875
 
6.1%
주 5274
 
5.5%
제 5242
 
5.4%
포 5147
 
5.3%
도 5140
 
5.3%
시 5080
 
5.3%
로 5024
 
5.2%
치 5015
 
5.2%
자 4996
 
5.2%
Other values (305) 42977
44.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

업태
Categorical

Distinct24
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
한식
2705 
호프/통닭
385 
경양식
346 
기타
303 
일식
 
199
Other values (19)
1094 

Length

Max length15
Median length2
Mean length3.0500795
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row한식
2nd row분식
3rd row한식
4th row뷔페식
5th row한식

Common Values

ValueCountFrequency (%)
한식 2705
53.8%
호프/통닭 385
 
7.7%
경양식 346
 
6.9%
기타 303
 
6.0%
일식 199
 
4.0%
분식 170
 
3.4%
중국식 154
 
3.1%
외국음식전문점(인도,태국등) 111
 
2.2%
식육(숯불구이) 110
 
2.2%
횟집 103
 
2.0%
Other values (14) 446
 
8.9%

Length

2023-12-12T13:18:51.158028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 2705
53.8%
호프/통닭 385
 
7.7%
경양식 346
 
6.9%
기타 303
 
6.0%
일식 199
 
4.0%
분식 170
 
3.4%
중국식 154
 
3.1%
외국음식전문점(인도,태국등 111
 
2.2%
식육(숯불구이 110
 
2.2%
횟집 103
 
2.0%
Other values (14) 446
 
8.9%

소재지면적
Real number (ℝ)

Distinct3937
Distinct (%)78.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean118.1815
Minimum3.84
Maximum2475.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T13:18:51.337812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.84
5-th percentile25.81
Q152.39
median83.88
Q3132.34
95-th percentile300.75
Maximum2475.1
Range2471.26
Interquartile range (IQR)79.95

Descriptive statistics

Standard deviation146.87484
Coefficient of variation (CV)1.2427904
Kurtosis63.623483
Mean118.1815
Median Absolute Deviation (MAD)36.49
Skewness6.529466
Sum594571.14
Variance21572.218
MonotonicityNot monotonic
2023-12-12T13:18:51.499538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.0 33
 
0.7%
33.0 16
 
0.3%
99.0 12
 
0.2%
132.0 10
 
0.2%
50.0 10
 
0.2%
70.0 10
 
0.2%
31.5 9
 
0.2%
39.6 9
 
0.2%
48.0 8
 
0.2%
9.9 8
 
0.2%
Other values (3927) 4906
97.5%
ValueCountFrequency (%)
3.84 1
 
< 0.1%
6.3 1
 
< 0.1%
6.48 1
 
< 0.1%
7.6 1
 
< 0.1%
8.3 1
 
< 0.1%
9.61 1
 
< 0.1%
9.9 8
0.2%
9.99 1
 
< 0.1%
10.56 1
 
< 0.1%
10.64 1
 
< 0.1%
ValueCountFrequency (%)
2475.1 1
< 0.1%
2090.0 1
< 0.1%
2004.76 1
< 0.1%
1995.0 1
< 0.1%
1971.95 1
< 0.1%
1886.2 1
< 0.1%
1778.64 1
< 0.1%
1617.36 1
< 0.1%
1597.32 1
< 0.1%
1479.74 1
< 0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
Minimum2023-06-22 00:00:00
Maximum2023-06-22 00:00:00
2023-12-12T13:18:51.629958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:51.727879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:18:47.153586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:18:51.809515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태소재지면적
업태1.0000.335
소재지면적0.3351.000
2023-12-12T13:18:51.914052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지면적업태
소재지면적1.0000.130
업태0.1301.000

Missing values

2023-12-12T13:18:47.548910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:18:47.678998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T13:18:47.789610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

사업장명소재지전체주소도로명전체주소업태소재지면적데이터기준일자
0남문숯불바베큐성산점제주특별자치도 서귀포시 성산읍 고성리 1200-5제주특별자치도 서귀포시 성산읍 고성오조로 88-2, 1층한식83.722023-06-22
1가파도에킴스제주특별자치도 서귀포시 대정읍 가파리 214제주특별자치도 서귀포시 대정읍 가파로 259, 1층분식86.82023-06-22
2만부식당제주특별자치도 서귀포시 서귀동 659-1제주특별자치도 서귀포시 칠십리로 40-6, 2층 (서귀동)한식70.732023-06-22
3이스턴레스토랑제주특별자치도 서귀포시 서호동 1522-2제주특별자치도 서귀포시 서호중로 65, 1층 (서호동)뷔페식193.92023-06-22
4우로제주특별자치도 서귀포시 서귀동 301-5제주특별자치도 서귀포시 천지로 58, 2층 (서귀동)한식51.592023-06-22
5엄마집제주특별자치도 서귀포시 서귀동 317-11제주특별자치도 서귀포시 중정로 12-4, 1층 (서귀동)한식114.592023-06-22
6달떡볶이신시가지점제주특별자치도 서귀포시 강정동 192제주특별자치도 서귀포시 대청로25번길 9, 상가동 1층 103호 (강정동, 서귀포강정엘에이치아파트)분식31.52023-06-22
7그릴백(GRILL BAG)제주특별자치도 서귀포시 서귀동 280-8제주특별자치도 서귀포시 동문로 33 (서귀동)외국음식전문점(인도,태국등)54.062023-06-22
8서귀동어촌계해녀의집제주특별자치도 서귀포시 서홍동 707-5제주특별자치도 서귀포시 남성중로 40, 1층 (서홍동)한식57.132023-06-22
9스시토우코우제주특별자치도 서귀포시 안덕면 서광리 산 35-16제주특별자치도 서귀포시 안덕면 신화역사로304번길 98, 신화월드 F003 1층한식51.32023-06-22
사업장명소재지전체주소도로명전체주소업태소재지면적데이터기준일자
5022고가명가제주특별자치도 서귀포시 서귀동 251-15번지제주특별자치도 서귀포시 동홍로 6 (서귀동)한식49.242023-06-22
5023낭쿰낭쿰제주특별자치도 서귀포시 서귀동 298-1번지제주특별자치도 서귀포시 중앙로79번길 4 (서귀동)한식40.732023-06-22
5024와랑와랑본점제주특별자치도 서귀포시 서귀동 469-1번지제주특별자치도 서귀포시 태평로 399-1 (서귀동)한식42.732023-06-22
5025충남식당제주특별자치도 서귀포시 성산읍 성산리 360-7번지제주특별자치도 서귀포시 성산읍 성산등용로 94-1한식15.02023-06-22
5026오일장반점제주특별자치도 서귀포시 대정읍 하모리 1089-33번지제주특별자치도 서귀포시 대정읍 신영로36번길 37중국식106.652023-06-22
5027나루터제주특별자치도 서귀포시 중문동 2120-8번지제주특별자치도 서귀포시 천제연로188번길 6 (중문동)한식33.452023-06-22
5028현대식당제주특별자치도 서귀포시 성산읍 성산리 360-2번지제주특별자치도 서귀포시 성산읍 성산등용로 96한식66.02023-06-22
5029동유암식당제주특별자치도 서귀포시 성산읍 고성리 315-3번지제주특별자치도 서귀포시 성산읍 동류암로 44한식22.12023-06-22
5030사계우리음식점제주특별자치도 서귀포시 안덕면 사계리 2672번지제주특별자치도 서귀포시 안덕면 산방로 367한식42.02023-06-22
5031주식회사부두식당제주특별자치도 서귀포시 대정읍 하모리 770-9번지제주특별자치도 서귀포시 대정읍 하모항구로 62한식174.12023-06-22